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Semantic Textual Similarity

The STS benchmark (Cer et al., 2017) and SICK-Relatedness dataset (Marelli et al., 2014) respectively contain 8.6K and 9.8K labeled sentence pairs, the sizes of which are usually insufficient for training deep neural networks.

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Cite this as

Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, Rada Mihalcea, German Rigau, Janyce Wiebe (2024). Dataset: Semantic Textual Similarity. https://doi.org/10.57702/38oi5rsy

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2105.07623
Author Eneko Agirre
More Authors
Carmen Banea
Claire Cardie
Daniel Cer
Mona Diab
Aitor Gonzalez-Agirre
Weiwei Guo
Rada Mihalcea
German Rigau
Janyce Wiebe
Homepage https://www.aclweb.org/anthology/S17-1025